Description

We are in the middle of a technological revolution. Applications of machine learning, artificial intelligence (AI), and data science have a great impact on many areas of our lives today and in the foreseeable future. This revolution has been driven by the collection of large amounts of data, as well as the availability of software tools thanks to the accelerated growth of open source initiatives. The success of these approaches is undeniable as it is proven by many applications with a significant impact on our daily lives. Given the obvious success of AI in many different areas, it would be fair to ask how it has impacted aspects of the oil and gas industry and, more specifically, the reservoir simulation technology. In this talk, we discuss the typical characteristics of a successful AI application to assess which of those applications have a good chance of success. Finally, we illustrate these concepts by showing an example where computer vision is combined with reservoir simulation to address a reservoir history matching problem.

Featured Speakers

Speaker Adolfo Rodriguez

Adolfo Rodriguez holds a Ph.D. in Physics and Astronomy obtained at the University of Oklahoma in 1995. However, he has worked in the oil industry for more than 25 years. His previous experience includes being a Research fellow at UT-Austin (2005-2008) and a Reservoir Engineer at ConocoPhillips (2008-2016). More recently …

Adolfo Rodriguez holds a Ph.D. in Physics and Astronomy obtained at the University of Oklahoma in 1995. However, he has worked in the oil industry for more than 25 years. His previous experience includes being a Research fellow at UT-Austin (2005-2008) and a Reservoir Engineer at ConocoPhillips (2008-2016). More recently he co-founded OpenSim Technology LLC, a company devoted to the development of a new Reservoir Simulator with an emphasis on integration with data-analysis and scientific computing open-source solutions. He has co-authored more than 40 technical papers in journals and conference proceedings.